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https://github.com/nyxflower/notes-and-examples-on-natural-language-processing

Introduce basic nlp tasks and methods with examples
https://github.com/nyxflower/notes-and-examples-on-natural-language-processing

language-modelling named-entity-recognition neural-language-modelling nlp-machine-learning notes python text-classification text-processing

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Introduce basic nlp tasks and methods with examples

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README

          

# nlp

## Online Source
### Courses
- UC Berkeley CS 288: [Statistical Natural Language Processing, Spring 2010](https://people.eecs.berkeley.edu/~klein/cs288/sp10/)
- Columbia COMS W4705: [Natural Language Processing, Fall 2018](http://www.cs.columbia.edu/~mcollins/cs4705-fall2018)

### Books
- Jurafsky and Martin, [Speech and Language Processing, 3nd edition](https://web.stanford.edu/~jurafsky/slp3/)
- Manning and Shuetze, Foundations of Statistical Natural Language Processing
- Ted Briscoe, [Introduction to Linguistics for Natural Language Processing](https://www.cl.cam.ac.uk/teaching/1011/L100/introling.pdf)

### Datasets
- Google Research [N-gram corpus](https://ai.googleblog.com/2006/08/all-our-n-gram-are-belong-to-you.html) (up to 5-gram)

### Tools

- Regular Expression (with cheatsheet): https://pythex.org/

## Professors
- [Jackson Eli Reynolds](https://web.stanford.edu/~jurafsky)
- [Michael Collins](http://www.cs.columbia.edu/~mcollins)